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- Tasks: Design and implement machine learning models to solve real-world business problems.
- Company: Join Flexera, a leader in technology value optimisation with over 50,000 global customers.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Work on cutting-edge AI projects and shape the future of content engineering.
- Qualifications: 5+ years in data science, strong Python skills, and experience with machine learning frameworks.
- Other info: Collaborate with a passionate team in a diverse and inclusive environment.
The predicted salary is between 48000 - 84000 £ per year.
Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint in hybrid environments—from on-premises to SaaS to containers to cloud.
We are seeking a highly skilled Senior Data Scientist to join our Content Engineering team. This role requires a strong engineering mindset combined with expertise in data science and emerging AI technologies. You will work closely with cross-functional teams to design, develop, and deploy solutions that leverage machine learning and generative AI to enhance content workflows.
Key Responsibilities:
- Design and implement machine learning models (classification and predictive models) to solve business problems.
- Contribute to Generative AI initiatives, including prompt engineering, prompt validation, and optimization for agentic workflows.
- Write clean, maintainable, and efficient code primarily in Python.
- Collaborate within an engineering team, following best practices such as unit testing, CI/CD pipelines, code reviews, and pull requests.
- Work with Databricks for data processing and model deployment (experience is a plus).
- Partner with stakeholders to understand requirements and translate them into scalable solutions.
- Stay updated on emerging trends in AI/ML, particularly in Generative AI and automation.
Required Skills & Qualifications:
- 5+ years of experience in data science or related roles.
- Strong programming skills in Python and familiarity with software engineering principles.
- Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Knowledge of prompt engineering and Generative AI concepts.
- Understanding of CI/CD processes, testing frameworks, and collaborative development practices.
- Familiarity with Databricks (nice to have).
- Basic awareness of AWS concepts (e.g., S3 buckets) is a plus, though not mandatory.
- Hands-on experience with Database frameworks (e.g., MySQL, PostgreSQL).
- Good to have experience in tracking tools (e.g. MLflow, W&B, Neptune.ai).
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience in data-driven automation and content workflows.
- Exposure to large language models (LLMs) and agentic AI systems.
- Ability to mentor junior engineers and contribute to design reviews and best practices.
- Work on cutting-edge projects in Generative AI and content engineering.
- Collaborate with a talented team passionate about innovation and scalability.
- Opportunity to shape the future of AI-driven content solutions.
Senior Data Scientist – Content Engineering employer: Flexera
Contact Detail:
Flexera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Content Engineering
✨Tip Number 1
Network like a pro! Reach out to current employees at Flexera on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Content Engineering team.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and machine learning concepts. Practice coding challenges and be ready to discuss your past projects, especially those involving generative AI and data workflows.
✨Tip Number 3
Showcase your passion for AI and data science during interviews. Share insights on recent trends or projects you've worked on that align with Flexera's mission. This will demonstrate your enthusiasm and fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Flexera team.
We think you need these skills to ace Senior Data Scientist – Content Engineering
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with machine learning, Python, and any relevant projects that showcase your skills in generative AI. We want to see how you fit into our vision!
Showcase Your Projects: Include links to your GitHub or any other portfolio where we can see your work. If you've built models or contributed to open-source projects, let us know! This gives us a glimpse of your coding style and problem-solving abilities.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate clarity and want to quickly understand your qualifications and experiences.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it helps us keep track of all applicants efficiently!
How to prepare for a job interview at Flexera
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and generative AI. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you solved them. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Show Off Your Coding Skills
Since the role requires writing clean and efficient Python code, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to coding best practices like unit testing and CI/CD. Practising coding challenges beforehand can really help you shine!
✨Understand the Company’s Vision
Familiarise yourself with Flexera's mission and the impact of their solutions on technology spend. Knowing how your role as a Senior Data Scientist fits into their goals will help you articulate how you can contribute to their success. It shows you're genuinely interested in the company and not just the job.
✨Prepare for Collaboration Questions
As this role involves working closely with cross-functional teams, expect questions about collaboration and communication. Think of examples where you've successfully worked with others, especially in engineering contexts. Highlight your experience in mentoring junior engineers or participating in design reviews to showcase your teamwork skills.
